Ming‐Yi Li
Papers
2
Total Citations
39
H-Index
2
About
Ming-Yi Li is pioneering the next generation of intelligent electromagnetic metamaterials, bridging the gap between passive wave control and autonomous, adaptive systems. His research focuses on programmable metasurfaces and their integration with deep learning to create "metamaterial agents" that can sense, reason, and respond to their environment. In his highly cited 2025 work, Li charts the evolution from static devices to self-adaptive platforms capable of user-specified functionality, a vision that has already garnered 35 citations. He has also demonstrated a groundbreaking application in non-optical sensing: using a programmable metasurface for microwave-based 3D reconstruction of human facial landmarks. This work, published in 2024, overcomes the fundamental limitations of optical sensors, such as vulnerability to lighting conditions and obstructions, opening new avenues for human-robot interaction and identification in challenging environments. By merging metamaterial physics with machine learning, Li is not just advancing a technology but redefining what electromagnetic surfaces can achieve, moving from passive components to intelligent, decision-making systems.
Research Focus
Key Achievements
Top Papers
- 1Electromagnetic metamaterial agent35 citations · 2025
- 2